Anything that happens now and in the near future of telematics will apply directly to self driving cars. The tools and devices used by Carmine and similar systems are intrinsic devices to systems that power self driving cars. One’s that measure acceleration, location, and so forth. If you are a master user of the Carmine Portal, you already possess a cursory understanding of self driving cars. Imagine the look on your family’s faces at dinner tonight when you declare that you can explain the intricacies of self driving cars, if they are so inclined to hear it.

Data driven car insurance.

Insurance companies will have increasingly moved to performance based insurance rates rather than approximating models. Models, amongst other things, are simply a way to reach a reasonable conclusion when someone and their compatriots are missing crucial pieces of info. So instead of Guessing, insurance companies would like to Know. Now it truly pays to be a safe and law-abiding driver. (http://www.naic.org/cipr_topics/topic_usage_based_insurance.htm)

Big data.

Where there is money and life at stake, Big Data will be there. Telematics allows for torrents more data to be collected on average cars instead of data only being collected from sample studies and scientific experiments. Telematics extracts data to a central point, like the Carmine Portal, and allows it to be aggregated to data analysis systems. And badabing badaboom, better useful info.

Tax will move from a gas to a mileage basis.

Gas tax has long been a way to pay for all the stuff related to cars and driving to get places, like roads, bridges, etc. But cars, in general, get far better gas mileage than yesteryear meaning all that road stuff ain’t as new or as nice it used to be because it doesn’t get fix as well or as often as it might need. Why not tax the drivers who drive the most? Well, touch points for recording mileage on vehicles were too few and far between once upon a time. Telematics’ devices changed that. Aggregating data becomes as easy as a hop, skip, and a jump. (http://thehill.com/policy/transportation/266626-california-testing-mileage-fees-as-gas-tax-replacement)

Learning from every crash.

Science, like studying crashes, is normally done in laboratory conditions. Data is a sample of other conditions, and while profoundly insightful, is intrinsically limited in what it tells. Granted, there are studies of real world events, they are still a small sample of actual events and that data is usually brought from an investigation after the event. All great, but… Telematic devices in vehicles record g-force data in real time that can be cross referenced with other data to birth an unprecedentedly clear picture of actuality. What does all this mean? Knowing what happens in real crashes tells us what we can change to make vehicular travel and the vehicles themselves safer. (https://www.ft.com/content/ca557812-c03a-11e5-9fdb-87b8d15baec2)

Communicate with nearby vehicles.

Cars talking to bridges and toll booths are great, but cars often hit other cars so they should talk to each other. Telematic devices make it happen. One application example, many mid to high end cars come equipped with rear-end avoidance systems (it stops the car for you when you aren’t looking so you don’t crash into the car in front of you) that are based on radar and are known to have mix results (they don’t always stop all the way before meeting the car in front of you (yes they, many times, brake some and then crash into the other car even though the whole point is not to do that)) (http://money.cnn.com/2013/09/27/autos/iihs-crash-avoidance/). Cars talking to each other would create an integrated system accounting for all nearby traffic resulting more vehicles stopping together if an accident further up the road. (https://www.ft.com/content/ca557812-c03a-11e5-9fdb-87b8d15baec2)

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